Vasiliki Kalavri
Cited by
Cited by
MapReduce: Limitations, Optimizations and Open Issues
V Kalavri, V Vlassov
11th IEEE International Symposium on Parallel and Distributed Processing …, 2013
Three steps is all you need: fast accurate, automatic scaling decisions for distributed streaming dataflows
V Kalavri, J Liagouris, M Hoffmann, D Dimitrova, M Forshaw, T Roscoe
13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018
High-Level Programming Abstractions for Distributed Graph Processing
V Kalavri, V Vlassov, S Haridi
IEEE Transactions on Knowledge and Data Engineering 30 (2), 305-324, 2018
Streaming Graph Partitioning: An Experimental Study
Z Abbas, V Kalavri, P Carbone, V Vlassov
Proceedings of the VLDB Endowment 11 (11), 2018
Like a Pack of Wolves: Community Structure of Web Trackers
V Kalavri, J Blackburn, M Varvello, K Papagiannaki
International Conference on Passive and Active Network Measurement, 42-54, 2016
Stream Processing with Apache Flink
F Hueske, V Kalavri
Published by O’Reilly Media, Inc., 2019
Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism
M Besta, M Fischer, V Kalavri, M Kapralov, T Hoefler
arXiv preprint arXiv:1912.12740, 2019
The shortest path is not always a straight line
V Kalavri, T Simas, D Logothetis
Proceedings of the VLDB Endowment 9 (9), 672 - 683, 2016
Megaphone: Live state migration for distributed streaming dataflows
M Hoffmann, A Lattuada, F McSherry, V Kalavri, J Liagouris, T Roscoe
Proceedings of the VLDB Endowment 12 (9), 1002-1015, 2019
SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows
M Hoffmann, A Lattuada, J Liagouris, V Kalavri, D Dimitrova, S Wicki, ...
15th {USENIX} Symposium on Networked Systems Design and Implementation …, 2018
Block Sampling: Efficient Accurate Online Aggregation in MapReduce
V Kalavri, V Brundza, V Vlassov
5th IEEE International Conference on Cloud Computing Technology and Science …, 2013
Beyond Analytics: the Evolution of Stream Processing Systems
P Carbone, M Fragkoulis, V Kalavri, A Katsifodimos
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
The future is big graphs: a community view on graph processing systems
S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ...
Communications of the ACM 64 (9), 62-71, 2021
Asymmetry in large-scale graph analysis, explained
V Kalavri, S Ewen, K Tzoumas, V Vlassov, V Markl, S Haridi
Proceedings of Workshop on GRAph Data management Experiences and Systems, 1-7, 2014
m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data
V Kalavri, H Shang, V Vlassov
2nd International Conference on Big Data Science and Engineering (BDSE 2013), 2013
A Survey on the Evolution of Stream Processing Systems
M Fragkoulis, P Carbone, V Kalavri, A Katsifodimos
arXiv preprint arXiv:2008.00842, 2020
Ponic: Using stratosphere to speed up pig analytics
V Kalavri, V Vlassov, P Brand
European Conference on Parallel Processing, 279-290, 2013
Performance Optimization Techniques and Tools for Distributed Graph Processing
V Kalavri
KTH Royal Institute of Technology, 2016
Integrating pig and stratosphere
V Kalavri
In support of workload-aware streaming state management
V Kalavri, J Liagouris
12th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 20), 2020
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